code: def test_set_params():
      clf = Incremental(SGDClassifier())
      clf.set_params(
          **{"scoring": "accuracy", "estimator__max_iter": 20}
      )
      result = clf.get_params()
  
      assert result["estimator__max_iter"] == 20
      assert result["scoring"] == "accuracy"
  
imports: import dask
  import dask.array
  import dask.dataframe
  import numpy
  import pandas
  import pytest
  import sklearn.datasets
  import sklearn.model_selection
  from dask.array.utils import assert_eq
  from scipy.sparse import csr_matrix
  from sklearn.base import clone
  from sklearn.linear_model import SGDClassifier, SGDRegressor
  from sklearn.pipeline import make_pipeline
  import dask_ml.feature_extraction.text
  import dask_ml.metrics
  from dask_ml.metrics.scorer import check_scoring
  from dask_ml.wrappers import Incremental
label_desc: Use image node_id 2 for calling a global function with example usage: test_set_params() without return types